Son of Zorn's lemma: Targeted style transfer using instance-aware semantic segmentation
Style transfer is an important task in which the style of a source image is mapped onto that of a target image. The method is useful for synthesizing derivative works of a particular artist or specific painting. This work considers targeted style transfer, in which the style of a template image is u...
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| Vydáno v: | Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) s. 1348 - 1352 |
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IEEE
01.03.2017
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| ISSN: | 2379-190X |
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| Abstract | Style transfer is an important task in which the style of a source image is mapped onto that of a target image. The method is useful for synthesizing derivative works of a particular artist or specific painting. This work considers targeted style transfer, in which the style of a template image is used to alter only part of a target image. For example, an artist may wish to alter the style of only one particular object in a target image without altering the object's general morphology or surroundings. This is useful, for example, in augmented reality applications (such as the recently released Pokémon go), where one wants to alter the appearance of a single real-world object in an image frame to make it appear as a cartoon. Most notably, the rendering of real-world objects into cartoon characters has been used in a number of films and television show, such as the upcoming series Son of Zorn. We present a method for targeted style transfer that simultaneously segments and stylizes single objects selected by the user. The method uses a Markov random field model to smooth and anti-alias outlier pixels near object boundaries, so that stylized objects naturally blend into their surroundings. |
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| AbstractList | Style transfer is an important task in which the style of a source image is mapped onto that of a target image. The method is useful for synthesizing derivative works of a particular artist or specific painting. This work considers targeted style transfer, in which the style of a template image is used to alter only part of a target image. For example, an artist may wish to alter the style of only one particular object in a target image without altering the object's general morphology or surroundings. This is useful, for example, in augmented reality applications (such as the recently released Pokémon go), where one wants to alter the appearance of a single real-world object in an image frame to make it appear as a cartoon. Most notably, the rendering of real-world objects into cartoon characters has been used in a number of films and television show, such as the upcoming series Son of Zorn. We present a method for targeted style transfer that simultaneously segments and stylizes single objects selected by the user. The method uses a Markov random field model to smooth and anti-alias outlier pixels near object boundaries, so that stylized objects naturally blend into their surroundings. |
| Author | Castillo, Carlos Goldstein, Tom Xintong Han Yadav, Abhay Kumar Soham De Singh, Bharat |
| Author_xml | – sequence: 1 givenname: Carlos surname: Castillo fullname: Castillo, Carlos organization: Dept. of Comput. Sci., Univ. of Maryland, College Park, MD, USA – sequence: 2 surname: Soham De fullname: Soham De organization: Dept. of Comput. Sci., Univ. of Maryland, College Park, MD, USA – sequence: 3 surname: Xintong Han fullname: Xintong Han organization: Dept. of Comput. Sci., Univ. of Maryland, College Park, MD, USA – sequence: 4 givenname: Bharat surname: Singh fullname: Singh, Bharat organization: Dept. of Comput. Sci., Univ. of Maryland, College Park, MD, USA – sequence: 5 givenname: Abhay Kumar surname: Yadav fullname: Yadav, Abhay Kumar organization: Dept. of Comput. Sci., Univ. of Maryland, College Park, MD, USA – sequence: 6 givenname: Tom surname: Goldstein fullname: Goldstein, Tom organization: Dept. of Comput. Sci., Univ. of Maryland, College Park, MD, USA |
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| Snippet | Style transfer is an important task in which the style of a source image is mapped onto that of a target image. The method is useful for synthesizing... |
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| SubjectTerms | Computational modeling Convolution neural network Feature extraction Image color analysis Image filtering Image segmentation Instance-aware semantic segmentation Markov processes Markov random fields Neural networks Semantics Style transfer |
| Title | Son of Zorn's lemma: Targeted style transfer using instance-aware semantic segmentation |
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